Information & Management最新文献

英文中文

Suicide risk prediction for users with depression in question answering communities: A design based on deep learning 问答社区中抑郁症用户自杀风险预测：基于深度学习的设计

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-23 DOI: 10.1016/j.im.2025.104219

Haoyue Fan , Qiuju Yin , Junwei Kuang , Zhijun Yan

Predicting suicide risk for people with depression is crucial for preventing adverse events. Existing research has mainly focused on users’ current post in online communities, overlooking historical posts that can provide a comprehensive representation of users’ emotional changes. In this study, we propose a deep learning-based method called dynamic historical information-based suicide risk prediction (DHISRP), which integrates current and heterogeneous historical posts to capture the dynamic and complicated features of users’ post sequences for suicide risk prediction. Empirical evaluation shows the superior effectiveness of our method compared to the baseline model and emphasizes the importance of considering both current and historical posts to predict suicide risk.

预测抑郁症患者的自杀风险对于预防不良事件至关重要。现有的研究主要集中在用户在网络社区的当前帖子上，忽略了能够全面反映用户情绪变化的历史帖子。在本研究中，我们提出了一种基于深度学习的基于动态历史信息的自杀风险预测（DHISRP）方法，该方法整合当前和异构的历史帖子，捕捉用户帖子序列的动态和复杂特征，用于自杀风险预测。实证评估表明，与基线模型相比，我们的方法具有优越的有效性，并强调了考虑当前和历史职位预测自杀风险的重要性。

引用次数: 0

An empirical investigation of users’ engagement in online health communities for chronic diseases 慢性病在线健康社区用户参与的实证调查

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-23 DOI: 10.1016/j.im.2025.104213

Yanyan Shang , Xin (Robert) Luo

Online Health Communities (OHCs) have emerged as a pivotal resource for individuals managing chronic diseases, serving as a vital supplement to traditional healthcare delivery systems. This study seeks to investigate the dynamics of OHC engagement among users with chronic diseases at various stages of their membership lifecycle. We hypothesize that the initial objectives users have when joining OHCs significantly shape their continued involvement. By embracing the theories of Uses and Gratifications (U&G) and Social Support (SST), we examine how users' goals for seeking information and emotional support, as well as the support they receive in these areas, influence their progression through different stages of engagement. Our empirical analysis uncovers that the goal of seeking information is most closely associated with the selection stage, while the goals of seeking emotional support and receiving emotional support are more closely linked to the commitment stage. Moreover, the degree of alignment between seeking emotional support and receiving emotional support has a significant impact on users' commitment stage activities, whereas the alignment between seeking information and receiving informational support does not significantly affect users' activities. The pattern of user interaction also plays a role in shaping their commitment stage activities and moderates the relationship between emotional support and commitment stage engagement. Our findings can guide OHC moderators and healthcare providers in more effectively leveraging OHCs for healthcare-related purposes.

在线卫生社区（OHCs）已成为个人管理慢性病的关键资源，是传统卫生保健提供系统的重要补充。本研究旨在调查慢性疾病用户在其会员生命周期不同阶段的OHC参与动态。我们假设用户加入ohc时的初始目标在很大程度上决定了他们的持续参与。通过使用和满足（U&；G）和社会支持（SST）理论，我们研究了用户寻求信息和情感支持的目标，以及他们在这些领域获得的支持，如何影响他们在不同参与阶段的进展。我们的实证分析发现，寻求信息的目标与选择阶段关系最为密切，而寻求情感支持和接受情感支持的目标与承诺阶段关系更为密切。此外，寻求情感支持与接受情感支持的契合度对用户的承诺阶段活动有显著影响，而寻求信息与接受信息支持的契合度对用户的承诺阶段活动没有显著影响。用户交互模式对用户承诺阶段活动的形成也有影响，并对情感支持与承诺阶段参与之间的关系起调节作用。我们的研究结果可以指导OHC调节者和医疗保健提供者更有效地利用OHC用于医疗保健相关目的。

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引用次数: 0

When will online free product trials contribute to product sales? The impacts of trial periods 什么时候在线免费试用能促进产品销售？试用期的影响

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-21 DOI: 10.1016/j.im.2025.104214

Xue Yang , Yuting Xu , Lele Kang , Xueyan Yin

To enhance market penetration and expand their consumer base, many e-commerce retailers implement trial marketing strategies. Extant research has investigated the impact of product trials. However, one unique feature that has garnered little attention is that online free product trials are a process consisting of successive yet distinct trial periods. The effectiveness of trial marketing throughout this process remains an open question. Drawing on the hierarchy-of-effects theory, this study posits that consumers are sequentially exposed to the advertising effect and the word-of-mouth effect in the context of online free product trials, with the intensity of these effects varying as the trial progresses. Utilizing data from the free trial center of a leading e-commerce platform, this study demonstrates that the advertising effect of trial-product-related information on consumers decreases over different trial periods. In contrast, the word-of-mouth effect of trial-outcome-related information remains consistent across all trial periods. Additionally, heterogeneity has been found among different product types (e.g., search and experience products) and across different retailer groups (e.g., junior and senior retailers). This study modestly extends the literature on product sampling and marketing strategies and seeks to offer guidance on enhancing marketing efforts and improving resource allocation.

为了提高市场渗透率和扩大消费者群体，许多电子商务零售商实施了试点营销策略。现存的研究调查了产品试验的影响。然而，一个很少引起注意的独特特点是，在线免费产品试用是一个由连续但不同的试用期组成的过程。在整个过程中，试验营销的有效性仍然是一个悬而未决的问题。利用效应层次理论，本研究假设消费者在在线免费产品试用的背景下依次受到广告效应和口碑效应的影响，这些影响的强度随着试用的进行而变化。本研究利用某领先电子商务平台免费试用中心的数据，证明了试用产品相关信息对消费者的广告效果在不同的试用期内呈下降趋势。相反，与试验结果相关的信息的口碑效应在所有试验期间保持一致。此外，在不同的产品类型（例如，搜索和体验产品）和不同的零售商群体（例如，初级和高级零售商）之间发现了异质性。本研究适度扩展了有关产品抽样和营销策略的文献，并试图为加强营销努力和改善资源配置提供指导。

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引用次数: 0

Modeling cryptocurrency failure using deep learning approaches and a post-hoc interpretability algorithm 使用深度学习方法和事后可解释性算法建模加密货币故障

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-21 DOI: 10.1016/j.im.2025.104215

Peng Xie , Nan Li , Hongwei Du

The lack of enforced trading termination in the cryptocurrency market allows for an exploration of the “natural death” of tradable assets. We propose two deep learning survival models to study this phenomenon and a post-hoc interpretability algorithm to interpret the results and test the hypothesis. The proposed deep learning survival models outperform the time-dependent Cox regression in both prediction performance and interpretation flexibility. Our results indicate that lower trading volume, market capitalization, social media attention, and higher price volatility predict increased cryptocurrency “death” hazards.

加密货币市场缺乏强制交易终止，这使得人们可以探索可交易资产的“自然死亡”。我们提出了两个深度学习生存模型来研究这一现象，并提出了一个事后可解释性算法来解释结果并检验假设。所提出的深度学习生存模型在预测性能和解释灵活性方面都优于时间相关的Cox回归。我们的研究结果表明，较低的交易量、市值、社交媒体关注度和较高的价格波动性预示着加密货币“死亡”风险的增加。

引用次数: 0

Allow or not? Strategic choices of competing platforms in response to ad blockers 允许还是不允许？竞争平台应对广告拦截软件的战略选择

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-21 DOI: 10.1016/j.im.2025.104217

Xinman Lu , Xiaoling Hou , Nan Yuan , Jun Wang

The use of ad blockers poses a threat to online platforms subsisting on advertising. Building an analytical model with two competing platforms, we investigate whether the entrant platform should adopt an Allow, Ban or Ban-Whitelist strategy in response to ad blockers, if the incumbent platform allows the users to use the ad blockers. Our analysis reveals that the new entrant does not always follow the strategy of the incumbent. If regular users have high ad sensitivity, the new entrant platform should adopt the Ban or Ban-Whitelist strategy, otherwise, the Allow strategy is better off. As the ad-light level or network effects increase, the entrant platform is less likely to choose the Ban strategy and more likely to adopt the Allow strategy. We also examine the impacts of different strategic choices made by the new entrant platform on the incumbent platform and find that the incumbent platform can achieve higher profits when the entrant platform adopts the Ban-Whitelist strategy if the ad sensitivity is high. Our findings also assist the incumbent platform in adjusting its optimal ad intensity to effectively respond to the competition. Specially, the two platforms will decrease the ad intensities as the strength of network effects becomes higher. Furthermore, we find that a win-win-win outcome for the two platforms and social welfare can only be achieved when the new entrant platform adopts the Allow or Ban-Whitelist strategy. Finally, our study explores the benefits of ad blockers and demonstrates the robustness of the results through model extensions.

广告拦截器的使用对依靠广告为生的在线平台构成了威胁。通过建立两个竞争平台的分析模型，我们研究了在现有平台允许用户使用广告拦截器的情况下，新进入的平台是否应该采用允许、禁止或禁止白名单策略来应对广告拦截器。我们的分析表明，新进入者并不总是遵循现有企业的战略。如果普通用户对广告的敏感度较高，新进入平台应采用Ban或Ban-白名单策略，否则，最好采用Allow策略。随着轻广告水平或网络效应的增加，进入平台选择Ban策略的可能性越来越小，而选择Allow策略的可能性越来越大。我们还研究了新进入平台不同战略选择对现有平台的影响，发现当新进入平台采用禁令白名单策略时，如果广告敏感性高，现有平台可以获得更高的利润。我们的研究结果也有助于现有平台调整其最佳广告强度，以有效地应对竞争。特别是，随着网络效应强度的提高，两大平台都会降低广告强度。此外，我们发现只有当新进入平台采用允许或禁止白名单策略时，才能实现两个平台和社会福利的三赢。最后，我们的研究探讨了广告拦截器的好处，并通过模型扩展证明了结果的稳健性。

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引用次数: 0

Is “compromised algorithmic control” equivalent to “compromised performance”? The effect of algorithmic control on the performance of crowdsourced workers “算法控制受损”是否等同于“性能受损”？算法控制对众包员工绩效的影响

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-20 DOI: 10.1016/j.im.2025.104216

Chen Lin , Chen Zhao , Zhonghua Gao , Jinlai Zhou

In the rise of online labor platforms, algorithmic control has a profound impact on numerous crowdsourced workers. But although algorithmic control aims to improve performance, it also can easily cause harm to workers. To explore a reasonable range of algorithmic control, based on the job demands-resources theory, three studies were conducted with crowdsourced food delivery riders and ride-hailing drivers to test the influence of algorithmic control on their performance. Our findings demonstrate three key mechanisms: (1) algorithmic control reveals an inverted U-shaped relationship with job engagement in which moderate levels optimize worker role integration; (2) algorithm familiarity moderates this curvilinear relationship by amplifying the effects at both extremes of excessive and insufficient control; and (3) job engagement mediates the influence of algorithmic control on performance outcomes, and such a mediating role has been further moderated by workers’ familiarity with the algorithm. The findings facilitate a comprehensive understanding of the impact of algorithmic control, offering practical guidance for algorithm developers and enterprises in formulating reasonable control strategies.

在网络劳动平台的兴起中，算法控制对众多众包劳动者产生了深远的影响。但是，尽管算法控制的目的是提高绩效，但它也很容易对工人造成伤害。为探索合理的算法控制范围，基于工作需求-资源理论，对众包外卖骑手和网约车司机进行了三项研究，测试算法控制对其绩效的影响。研究结果揭示了三个关键机制：(1)算法控制与工作敬业度呈倒u型关系，其中适度水平优化员工角色整合；(2)算法熟悉度通过放大控制过度和控制不足两个极端的影响来调节这种曲线关系；(3)工作敬业度在算法控制对绩效结果的影响中起中介作用，并且这种中介作用被员工对算法的熟悉程度进一步调节。研究结果有助于全面了解算法控制的影响，为算法开发者和企业制定合理的控制策略提供实用指导。

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引用次数: 0

Not all innovations are the same: Exploring employees’ ambidextrous innovation behavior in enterprise collaboration platforms 并不是所有的创新都是一样的：探索企业协作平台中员工的双灵巧创新行为

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-13 DOI: 10.1016/j.im.2025.104210

Zhen Shao , Rui Zhang , Jose Benitez , Lin Zhang , Jianfeng Zhang

This study employs a mixed-methods approach to investigate how the interactive features of enterprise collaboration platforms influence employees' ambidextrous innovation behavior, with a specific focus on analyzing their underlying mechanisms through the theoretical lens of job characteristics. Qualitative and quantitative studies were conducted in sequence to collect data. The results show that the track of workflow, integrated information exchange, and instant connection enhance ambidextrous innovation through the mediation of perceived job autonomy and perceived job feedback. The research findings contribute to the IS literature by conceptualizing the technology features of enterprise collaboration platforms and elucidating the mechanism through which they influence ambidextrous innovation.

本研究采用混合方法研究企业协作平台的交互特征对员工双灵巧创新行为的影响，并通过工作特征的理论视角分析其潜在机制。依次进行定性和定量研究，收集数据。研究结果表明，工作流程跟踪、信息集成交换和即时连接通过感知工作自主性和感知工作反馈的中介作用增强了双灵巧创新。研究结果通过概念化企业协作平台的技术特征并阐明其影响双灵巧创新的机制，为IS文献做出了贡献。

引用次数: 0

Trolling in social media: A deindividuation and contagion perspective 社交媒体上的网络喷子：去个性化和传染的视角

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-12 DOI: 10.1016/j.im.2025.104211

Mohammad Alamgir Hossain , Mohammed Quaddus , Shahriar Akter , Patrick Mikalef , Matthew Warren

Trolling on social media has a profound impact on its victims, yet existing literature offers a limited understanding of the factors driving this behavior. This study applies deindividuation and contagion theories to explore the phenomenon, surveying 337 Facebook users and 275 Instagram users and analyzing the data using SEM-PLS and fsQCA methods. The SEM results indicate that digital anonymity and dispersed collectivity both directly and indirectly impact trolling behavior, mediated by a loss of self-consciousness and a diffused sense of responsibility. The fsQCA analysis reveals four distinct equifinal configurations that predict trolling behavior, one for each platform, providing new insights into the research on trolling. This study contributes to the theoretical understanding of trolling and offers practical implications for addressing this issue.

社交媒体上的喷子对受害者有着深远的影响，然而现有的文献对驱动这种行为的因素的理解有限。本研究运用去个性化和传染理论来探讨这一现象，调查了337名Facebook用户和275名Instagram用户，并使用SEM-PLS和fsQCA方法分析数据。SEM结果表明，数字匿名性和分散的集体在自我意识丧失和责任感分散的介导下，直接和间接地影响了网络喷子行为。fsQCA分析揭示了预测钓鱼行为的四种不同的等效配置，每个平台一个，为钓鱼研究提供了新的见解。本研究有助于对网络钓鱼的理论理解，并为解决这一问题提供了实际意义。

引用次数: 0

Employee Participation in Digital Transformation: From Digitalization Sentiment to Transformation Predisposition 员工参与数字化转型：从数字化情绪到转型倾向

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-11 DOI: 10.1016/j.im.2025.104212

Kaveh Abhari

Digital transformation extends beyond mere technological shifts in business routines, models, or domains; it encompasses the profound evolution of employees’ attitudes and behaviors. Prior research on the microfoundations of digital transformation emphasizes that the essence of transformation lies in the individuals who drive it forward. To truly unlock this potential, organizations must harmonize sweeping changes with the individual needs and professional aspirations of their workforce. Achieving this balance is crucial to mitigating resistance and ensuring successful transformation. This study offers an empirical examination of how these dynamics unfold in practice. It begins by theorizing that employee sentiment toward digitalization is a key predictor of their predispositions toward digital transformation. The findings demonstrate that positive predispositions, in turn, can significantly enhance employees’ willingness to participate in digital transformation initiatives. This study sheds light on the individual microfoundations that underpin employee participation in digital transformation, revealing that these drivers are rooted in fundamental psychological needs, transcending geographical and cultural boundaries. The findings advocate for investments in employees’ psychosocial readiness and suggest viewing digitalization projects as strategic opportunities to cultivate positive experiences and attitudes, paving the way for future transformation initiatives.

数字化转型不仅仅是业务流程、模型或领域的技术转变；它包含了员工态度和行为的深刻演变。先前对数字化转型微观基础的研究强调，转型的本质在于推动转型的个人。为了真正释放这一潜力，组织必须将彻底的变革与员工的个人需求和职业抱负协调起来。实现这种平衡对于减轻阻力和确保成功转型至关重要。本研究提供了这些动态如何在实践中展开的实证检验。首先，从理论上讲，员工对数字化的情绪是他们对数字化转型倾向的关键预测因素。研究结果表明，积极的倾向反过来可以显著提高员工参与数字化转型计划的意愿。这项研究揭示了支撑员工参与数字化转型的个体微观基础，揭示了这些驱动因素根植于基本的心理需求，超越了地理和文化的界限。研究结果主张对员工的心理社会准备进行投资，并建议将数字化项目视为培养积极经验和态度的战略机会，为未来的转型举措铺平道路。

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引用次数: 0

When do Employees Perceive Technology as Stressful? A Meta-Analysis of work-related Technostress Antecedents 员工什么时候会觉得技术有压力？与工作相关的技术压力前因的元分析

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-07-09 DOI: 10.1016/j.im.2025.104203

Magdalena Kotek , Ivana Vranjes

Workplace technostress, a consequence of technology use at work, has garnered significant attention in recent scientific investigations. However, existing findings on technostress are often dispersed and contradictory, necessitating a systematic exploration of its contributing factors. In this study, we build on transactional stress theory to consolidate information on potential antecedents of technostressor perceptions at work: techno-complexity, techno-insecurity, techno-invasion, techno-overload, and techno-uncertainty. Our random-effects meta-analysis of 84 relevant studies, covering 44,576 employees, illustrates a distinct pattern of antecedents for different technostressors, shedding light on the diverse influences shaping employees' perceptions of technostress.

在最近的科学调查中，工作场所的技术压力（technological stress）引起了人们的极大关注。然而，现有的关于技术压力的发现往往是分散和矛盾的，需要对其影响因素进行系统的探索。在本研究中，我们以交易压力理论为基础，整合工作中技术压力源感知的潜在前因：技术复杂性、技术不安全性、技术入侵、技术过载和技术不确定性。我们对84项相关研究的随机效应荟萃分析，涵盖了44,576名员工，说明了不同技术压力源的不同前因式，揭示了形成员工对技术压力感知的不同影响。

引用次数: 0

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